panel garch
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2021 ◽  
Author(s):  
Mansour Tour ◽  
Esmaiel Abounoori

Abstract Despite lots of research concerning different GARCH and Panel-GARCH as well as MGARCH models, we have not seen Panel MGARCH so far reviewing literatures. Though there are spillover effects between cross-sections for one variable, there may be spillover effects and cross-sections dependence for several variables too. The main aim in this research is to use the Panel MGARCH (P-MGARCH) model regarding weekly exchange rate and the stock market index across countries UK, Canada and China during 2010: 10 to 2020: 08. According to the results, the volatility spillover among cross-sections (UK, China and Canada) for variables (Exchange rates and Stock exchange returns) has been confirmed.JEL Classification: C33, C58, F30


2019 ◽  
Vol 21 (3) ◽  
pp. 395-408 ◽  
Author(s):  
Nicholas Apergis

This study explores, for the first time, how financial vulnerability affects incomeinequality across OECD countries, from 1990 to 2015. The empirics use a new financialvulnerability index constructed by Adrian and Duarte (2016). Through the methodologyof their modeling approach, panel GARCH and GMM methods, the findings indicatethat financial vulnerability exerts a negative impact on income equality conditions.The results survive certain definitions of income inequality and corruption, whilethey highlight the importance of financial stability conditions, with potential furtherrepercussions to the real economy.


2018 ◽  
Vol 55 (8) ◽  
pp. 1841-1856 ◽  
Author(s):  
Christos Bouras ◽  
Christina Christou ◽  
Rangan Gupta ◽  
Tahir Suleman

2017 ◽  
Vol 54 (2) ◽  
pp. 523-546 ◽  
Author(s):  
Harold Glenn A. Valera ◽  
Mark J. Holmes ◽  
Gazi M. Hassan

2016 ◽  
Vol 22 (3) ◽  
pp. 600-619 ◽  
Author(s):  
Joseph W. Gruber ◽  
Robert J. Vigfusson

We propose a novel explanation for the observed increase in the correlation of commodity prices over the past decade. In contrast to theories that rely on the increased influence of financial speculators, we examine the effect of interest rates on the volatility and correlation of commodity prices via a panel GARCH model. In theory, lower interest rates decrease the volatility of prices, as lower inventory costs promote the smoothing of transient shocks, and increase price correlation if common shocks are more persistent than idiosyncratic shocks. Empirically, we find that price volatility attributable to transitory shocks declines with interest rates, whereas particularly for metals prices, price correlation increases as interest rates decline.


2016 ◽  
Vol 24 (11) ◽  
pp. 732-735 ◽  
Author(s):  
Harold Glenn A. Valera ◽  
Mark J. Holmes ◽  
Gazi Hassan

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